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Topic Review
Malicious Social Network Messages
The primary methods of communication in the modern world are social networks, which are rife with harmful messages that can injure both psychologically and financially. Most websites do not offer services that automatically delete or send malicious communications back to the sender for correction, or notify the sender of inaccuracies in the content of the messages. The deployment of such systems could make use of techniques for identifying and categorizing harmful messages.
  • 434
  • 19 Sep 2023
Topic Review
Traffic Flow Prediction Based on MLR-LSTM Neural Network
A prediction method based on the combination of multiple linear regression and Long-Short-Term Memory (MLR-LSTM) is proposed, which uses the incomplete traffic flow data in the past period of time of the target prediction section and the continuous and complete traffic flow data in the past period of time of each adjacent section to jointly predict the traffic flow changes of the target section in a short time.
  • 433
  • 27 Oct 2022
Topic Review
Integrated Archaeological Database
The Integrated Archaeological Database system, or IADB for short, is an open-source web-based application designed to address the data management requirements throughout the lifespan of archaeological excavation projects, from initial excavation recording, through post-excavation analysis and research to eventual dissemination and archiving.
  • 433
  • 04 Nov 2022
Topic Review
Generating Primes
In computational number theory, a variety of algorithms make it possible to generate prime numbers efficiently. These are used in various applications, for example hashing, public-key cryptography, and search of prime factors in large numbers. For relatively small numbers, it is possible to just apply trial division to each successive odd number. Prime sieves are almost always faster.
  • 433
  • 07 Nov 2022
Topic Review
Taxonomy of Machine Learning Methods for Urban Applications
Machine Learning (ML) as an intersection of informatics and statistics is a promising challenge for more evidence-based decisions to fill in the gap of existing technological tools and instruments for spatiotemporal requirements. As ML transcended the conventional techniques of modeling, a huge potential of big data management to address complex city problems is presented at the crossroads of modern urban planning challenges to make up their dynamics. Generally speaking, the ML methods are categorized based on the type of ‘learning’.
  • 433
  • 10 Jan 2023
Topic Review
Multi-Label Fundus Image Classification
Fundus images are used by ophthalmologists and computer-aided diagnostics to detect fundus disease such as diabetic retinopathy, glaucoma, age-related macular degeneration, cataracts, hypertension, and myopia.
  • 432
  • 30 Jun 2022
Topic Review
Evidence-based Subjective Logic
Evidence-based subjective logic (EBSL) is a variant of subjective logic in which the transitivity of opinions (discounting) is handled by applying weights to the evidence underlying the opinions. Subjective logic is based on Dempster–Shafer belief theory. The discounting rule in EBSL makes it possible to handle arbitrary trust networks.
  • 432
  • 03 Nov 2022
Topic Review
Kubity
Kubity is a cloud-based 3D communication tool that works on desktop computers, the web, smartphones, tablets, augmented reality gear, and virtual reality glasses. Kubity is powered by several proprietary 3D processing engines including "Paragone" and "Etna" that prepare the 3D file for transfer over mobile devices. Kubity has practical applications for architecture, interior design, engineering, product design, film, and video games among others. The majority of its users create 3D models using SketchUp or Autodesk Revit software. Kubity products include the Kubity web app and Kubity Go (a mobile application for iOS and Android). Kubity is compatible across many platforms, devices and operating systems including: iOS, Android, Firefox, Chrome, Windows, MacOS, and Linux.
  • 432
  • 07 Nov 2022
Topic Review
Abstract Entity Patterns for Sensors and Actuators
Sensors and actuators are fundamental units in Cyber–Physical and Internet of Things systems. Because they are included in a variety of systems, using many technologies, it is very useful to characterize their functions abstractly by describing them as Abstract Entity Patterns (AEPs), which are patterns that describe abstract conceptual entities.
  • 432
  • 19 May 2023
Topic Review
From Simultaneous Localization and Mapping to Situational Awareness
Situational Awareness (SA) is a fundamental capability of humans that has been deeply studied in various fields, such as psychology, military, aerospace, and education. Nevertheless, it has yet to be considered in robotics, which has focused on single compartmentalized concepts such as sensing, spatial perception, sensor fusion, state estimation, and Simultaneous Localization and Mapping (SLAM).
  • 432
  • 25 May 2023
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